UBS Evidence Lab Leverages Big Data for Better Insights

The UBS Evidence Lab is a game-changer in the world of finance. It leverages big data to provide better insights to clients, helping them make informed investment decisions.

By harnessing the power of big data, the UBS Evidence Lab can analyze vast amounts of information to identify trends and patterns that might otherwise go unnoticed. This allows clients to stay ahead of the curve and make more informed decisions.

The lab's use of big data is not just about crunching numbers, it's about uncovering meaningful insights that can drive real results. With the UBS Evidence Lab, clients can gain a deeper understanding of the markets and make more informed decisions about their investments.

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UBS Evidence Lab offers a robust combination of expertise and quality, with experts working globally across 45 specialized areas. This breadth of expertise allows for the creation of insight-ready datasets based on quality, vetted data.

You can access these datasets today with a subscription to UBS Evidence Lab, which provides the same datasets used by UBS Research analysts, strategists, and economists.

Big Data is a game-changer in the world of finance, and UBS is at the forefront of its use. They're deploying alternative data at scale to create faster, more nuanced views of the market.

This means that analysts can now plug in datasets that are immediately available, giving them an edge in speed and confidence around their investment ideas. The difference is that in the past, most of this data was financial statements, which were dependent on company reports produced at a regular but slow pace.

Some of the alternative data UBS is using includes tonnage measurements, movement measurements, app downloads, and airline prices. These are combined to get real-time looks at consumer confidence.

For example, American foot traffic, where consumers are spending money, and private jets landing in Macau are all tracked. This data tapestry provides a broad view of what's happening in the market.

UBS relies on surveys, which are useful proprietary information, but not tech-driven. They're augmented by genuine alt-data, such as a monitor of U.S. companies reshoring manufacturing.

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Predictions are the holy grail of alternative data, and UBS is working on building proprietary models relying more on real-time information. They've even built a monitor of container ships, using data from maritime-traffic monitoring sites.

This data covers over 20,000 ships that it tracks by location, draft, ship size and type, cargo manifests, and ports of call. Noting that 70 percent of world trade is conducted by sea, Brunelli says this UBS algo, called Modified Deadweight Tonnage, tracks oceanic traffic across the Pacific.

Here's a breakdown of the types of data UBS is using:

This data is being used to create a more complete picture of the market, and it's giving UBS an edge in the world of finance.

We've got a clear winner when it comes to research and data analysis. UBS Evidence Lab has powered over 6,000 reports published by UBS Research, which was ranked #1 in 2017 and 2018 Institutional Investor Global Equity Research.

Their breadth of expertise is unmatched, with experts working globally across 45 specialized areas. This level of focus on quality has allowed them to deliver insight-ready datasets based on vetted data.

With a subscription to UBS Evidence Lab, you can access the same datasets that UBS Research analysts, strategists, and economists use. You can search by sector, company, or topic to explore interactive models and investigate the underlying data.

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